Data Analytics Analyst 3 4P/369
4P Consulting Inc., Birmingham, AL, United States
Data Analytics Analyst 3
Location:
Birmingham, AL ( HYBRID)
Contract
- 3 Years
Client - Alabama Power
Job Summary
We are seeking an experienced
Data Analytics Analyst (Level 3)
with
5–10 years of experience
to support enterprise-wide decision-making in the utilities sector. This position is responsible for developing advanced analytics solutions, integrating data from multiple sources, and presenting actionable insights to business and engineering leaders. The ideal candidate has strong technical skills, a background in
ETL, SQL, and visualization , and the ability to translate complex datasets into meaningful business recommendations.
Key Responsibilities
Data Analysis & Reporting
Analyze complex operational and financial datasets to identify patterns, trends, and opportunities.
Develop dashboards, reports, and visualizations using
Power BI
and related tools.
Apply
statistical and analytical techniques
to provide actionable insights for stakeholders across utility operations, finance, and engineering.
Data Integration & ETL
Extract, transform, and load (ETL) data from multiple sources, ensuring data integrity and accuracy.
Develop and optimize queries using
SQL, Python, DAX, and Power Query .
Maintain and improve data pipelines to support ongoing business operations.
Business Support & Collaboration
Partner with project managers, engineers, and finance teams to provide data-driven recommendations.
Support regulatory, financial, and operational reporting requirements.
Present findings clearly to both technical and non-technical stakeholders.
Innovation & Process Improvement
Explore and implement automation and low
o-code solutions to improve reporting efficiency.
Proactively identify opportunities for data-driven improvements in processes, systems, and performance tracking.
Qualifications
Education:
Bachelor’s Degree in Computer Science, Data Science, Statistics, Engineering, Finance, or related field (required).
Experience:
5–10 years
of hands-on experience in
data analytics, ETL, and dashboard/report development .
Strong experience with
SQL, Python, DAX, Power Query, and Power BI .
Experience with financial data analysis (preferred).
Knowledge of utility operations, engineering, or energy-related datasets is a strong plus.
Prior experience with
Azure, Databricks, or big data technologies
is advantageous.
#J-18808-Ljbffr
Location:
Birmingham, AL ( HYBRID)
Contract
- 3 Years
Client - Alabama Power
Job Summary
We are seeking an experienced
Data Analytics Analyst (Level 3)
with
5–10 years of experience
to support enterprise-wide decision-making in the utilities sector. This position is responsible for developing advanced analytics solutions, integrating data from multiple sources, and presenting actionable insights to business and engineering leaders. The ideal candidate has strong technical skills, a background in
ETL, SQL, and visualization , and the ability to translate complex datasets into meaningful business recommendations.
Key Responsibilities
Data Analysis & Reporting
Analyze complex operational and financial datasets to identify patterns, trends, and opportunities.
Develop dashboards, reports, and visualizations using
Power BI
and related tools.
Apply
statistical and analytical techniques
to provide actionable insights for stakeholders across utility operations, finance, and engineering.
Data Integration & ETL
Extract, transform, and load (ETL) data from multiple sources, ensuring data integrity and accuracy.
Develop and optimize queries using
SQL, Python, DAX, and Power Query .
Maintain and improve data pipelines to support ongoing business operations.
Business Support & Collaboration
Partner with project managers, engineers, and finance teams to provide data-driven recommendations.
Support regulatory, financial, and operational reporting requirements.
Present findings clearly to both technical and non-technical stakeholders.
Innovation & Process Improvement
Explore and implement automation and low
o-code solutions to improve reporting efficiency.
Proactively identify opportunities for data-driven improvements in processes, systems, and performance tracking.
Qualifications
Education:
Bachelor’s Degree in Computer Science, Data Science, Statistics, Engineering, Finance, or related field (required).
Experience:
5–10 years
of hands-on experience in
data analytics, ETL, and dashboard/report development .
Strong experience with
SQL, Python, DAX, Power Query, and Power BI .
Experience with financial data analysis (preferred).
Knowledge of utility operations, engineering, or energy-related datasets is a strong plus.
Prior experience with
Azure, Databricks, or big data technologies
is advantageous.
#J-18808-Ljbffr